Described as “disastrous” and “ominous,” the proposed cuts have been subject to rampant industry-wide backlash, with some cautioning that, if enacted, the reductions could cause “immediate financial instability” in the Medicare physician payment system. 

These errors are frequently due to a breakdown in communication between radiologists, technologists and referring providers, either before or during exams, according to a new analysis of more nearly 63,000 musculoskeletal MRI exams.

Prior to the Dec. 15 announcement, CMS had released a different statement in June informing the public that they were reconsidering the amount of PET scans that Alzheimer’s patients undergoing monoclonal antibody treatment can receive.

A special report in Radiology offers a rare overview of the number of radiology exams performed each year worldwide and focuses on the decline of associated radiation doses patients receive.

A recent analysis found that a significant amount of studies do not provide information pertaining to their raw data, source code or model. As a result, up to 97% of these studies do not produce systems that are fit to be used in real-world clinical scenarios. 

Prior to 2018, it was recommended that women at higher-than-average risk undergo supplemental breast MRI screening only if they had a personal history of breast cancer in addition to carrying a hereditary breast cancer gene mutation.

Increased ability to catch osteoarthritis early from X-ray images alone could help treat symptoms and prevent costly MRI examinations.

Washington University is using a novel low-count quantitative SPECT technique to measure the concentration of alpha particle radiopharmaceutical therapy activity in the tumor and in radio-sensitive organs.
 

Sean Fain, PhD, vice chair of radiology and research and a professor of radiology, University of Iowa, discusses how long-COVID lung damage can be tracked using xenon (Xe) gas MRI and quantitative CT at RSNA 2022. 

Sanjay Parekh, PhD, senior market analyst with Signify Research, explains how some radiology AI is being adopted outside of radiology departments to improve care.